high performance computing on graphics processing units: hgpu.org

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OpenCL parallel Processing using General Purpose Graphical Processing units – TiViPE software development

Tino Lourens

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Tags: ATI, ATI Radeon HD 6310, Computer science, CUDA, Heterogeneous systems, nVidia, nVidia GeForce GTX 560, OpenCL

April 1, 2013 by hgpu

Geometric Algebra Computing Technology for Accelerated Processing Units

Patrick Charrier, Dietmar Hildenbrand

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Tags: Computer science, CUDA, Heterogeneous systems, nVidia, OpenCL, Programming techniques

April 1, 2013 by hgpu

A Discussion of Selected Vienna-Libraries for Computational Science

Karl Rupp, Florian Rudolf, Josef Weinbub

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Tags: ATI, ATI Radeon HD 7970, Computer science, CUDA, Linear Algebra, nVidia, nVidia GeForce GTX 285, OpenCL, Programming techniques, Review

April 1, 2013 by hgpu

Formal Analysis of GPU Programs with Atomics via Conflict-Directed Delay-Bounding

Wei-Fan Chiang, Ganesh Gopalakrishnan, Guodong Li, Zvonimir Rakamaric

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Tags: Computer science, CUDA, nVidia, Programming techniques

March 31, 2013 by hgpu

A journey from single-GPU to optimized multi-GPU SPH with CUDA

E. Rustico, G. Bilotta, G. Gallo, A. Herault, C. Del Negro, R. A. Dalrymple

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Tags: CUDA, Fluid dynamics, nVidia, nVidia GeForce GTX 480, Package

March 31, 2013 by hgpu

A Massively Parallel Associative Memory Based on Sparse Neural Networks

Zhe Yao, Vincent Gripon, Michael G. Rabbat

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Tags: Artificial intelligence, Computer science, CUDA, Neural and Evolutionary Computing, Neural networks, nVidia, Tesla C1060

March 31, 2013 by hgpu

CMCpy: Genetic Code-Message Coevolution Models in Python

Peter J. Becich, Brian P. Stark, Harish S. Bhat, David H. Ardell

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Tags: Bioinformatics, Biology, CUDA, nVidia, nVidia GeForce GTX 460, Package, Python

March 31, 2013 by hgpu

High Performance Computing using GPGPU’s

Omar Usman Khan

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Tags: Electrodynamics, FFT, nVidia, nVidia GeForce GTX 260, OpenCL, Package, Thesis

March 29, 2013 by hgpu

Parallel Simulation of Population Balance Model-Based Particulate Processes Using Multicore CPUs and GPUs

Anuj V. Prakash, Anwesha Chaudhury, Rohit Ramachandran

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Tags: CAD, Computer science, CUDA, nVidia, nVidia GeForce GTX 280, Pharmaceuticals

March 29, 2013 by hgpu

Accelerating Graph Analysis with Heterogeneous Systems

Ate Penders

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Tags: Algorithms, Computer science, Graph theory, Heterogeneous systems, nVidia, nVidia GeForce GTX 480, OpenCL, Tesla C2050, Thesis

March 29, 2013 by hgpu

Adaptive OpenCL (ACL) Execution in GPU Architectures

Dan Connors, Kyle Dunn, Jeff Wiencrot

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Tags: Algorithms, Computer science, DSP, Heterogeneous systems, nVidia, nVidia GeForce GTX 280, nVidia GeForce GTX 480, OpenCL

March 26, 2013 by hgpu

Parallel Sorting on the Heterogeneous AMD Fusion Accelerated Processing Unit

Michael Christopher Delorme

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Tags: APU, ATI, ATI Radeon HD 5870, ATI Radeon HD 6530, ATI Radeon HD 6550, Computer science, Heterogeneous systems, nVidia, OpenCL, Sorting, Thesis, Tutorial

March 26, 2013 by hgpu

AutoDock-GPU: AutoDock for GPUs and other accelerators

Architecting Tensor Core-Based Reductions for Irregular Molecular Docking Kernels

NCCLX: collective communication framework

Collective Communication for 100k+ GPUs

Tutoring LLM into a Better CUDA Optimizer

Kernel Library for LLM Serving

Compiler and Runtime Systems for Generative AI Models

Adaptivity in AdaptiveCpp: Optimizing Performance by Leveraging Runtime Information During JIT-Compilation

Neptune: Advanced ML Operator Fusion for Locality and Parallelism on GPUs

Genten: Software for Generalized Tensor Decompositions by Sandia National Laboratories

A Performance Portable Matrix Free Dense MTTKRP in GenTen

Interleaved Learning and Exploration: A Self-Adaptive Fuzz Testing Framework for MLIR

Pinocchio: PINpointing Orbit Crossing Collapsed Hierarchical Objects

Accelerating cosmological simulations on GPUs: a portable approach using OpenMP

KernelCoder: trained on a curated dataset of reasoning traces and CUDA kernel pairs

ConCuR: Conciseness Makes State-of-the-Art Kernel Generation

See all packages

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high performance computing on graphics processing units: hgpu.org

OpenCL parallel Processing using General Purpose Graphical Processing units – TiViPE software development

Geometric Algebra Computing Technology for Accelerated Processing Units

A Discussion of Selected Vienna-Libraries for Computational Science

Formal Analysis of GPU Programs with Atomics via Conflict-Directed Delay-Bounding

A journey from single-GPU to optimized multi-GPU SPH with CUDA

A Massively Parallel Associative Memory Based on Sparse Neural Networks

CMCpy: Genetic Code-Message Coevolution Models in Python

High Performance Computing using GPGPU’s

Parallel Simulation of Population Balance Model-Based Particulate Processes Using Multicore CPUs and GPUs

Accelerating Graph Analysis with Heterogeneous Systems

Adaptive OpenCL (ACL) Execution in GPU Architectures

Parallel Sorting on the Heterogeneous AMD Fusion Accelerated Processing Unit

Recent source codes

AutoDock-GPU: AutoDock for GPUs and other accelerators

NCCLX: collective communication framework

Tutoring LLM into a Better CUDA Optimizer

Kernel Library for LLM Serving

Adaptivity in AdaptiveCpp: Optimizing Performance by Leveraging Runtime Information During JIT-Compilation

Neptune: Advanced ML Operator Fusion for Locality and Parallelism on GPUs

Genten: Software for Generalized Tensor Decompositions by Sandia National Laboratories

Interleaved Learning and Exploration: A Self-Adaptive Fuzz Testing Framework for MLIR

Pinocchio: PINpointing Orbit Crossing Collapsed Hierarchical Objects

KernelCoder: trained on a curated dataset of reasoning traces and CUDA kernel pairs

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